Impacts of Climate Change on Rainfall Distribution: Analyzing the Shift towards More Extreme Short-Duration Rainfall Events over Longer Ones.

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dc.contributor.advisor Prosdocimi, Ilaria it_IT
dc.contributor.author Marinozzi, Alessandro <1998> it_IT
dc.date.accessioned 2024-06-16 it_IT
dc.date.accessioned 2024-11-13T09:42:06Z
dc.date.available 2024-11-13T09:42:06Z
dc.date.issued 2024-07-09 it_IT
dc.identifier.uri http://hdl.handle.net/10579/26907
dc.description.abstract The impacts of climate change on rainfall distribution have become increasingly evident in recent years, with shifts towards more extreme precipitation events being a notable concern. The implications of these changes are far reaching, impacting various sectors. In particular, effects of the Short-duration extreme rainfall events can lead to floods, soil erosion and waterlogging, posing threats to infrastructure and livelihoods: The rising human and economic costs are concerning for long-term sustainability. Additionally, these changes are testing the effectiveness of traditional methods for predicting rainfall and managing resilience. This master thesis aims to analyze historical time series of rainfall across varying time scales to investigate the observed changes in precipitation patterns. Specifically, the study focuses on the change of the distribution of rainfalls, and on the transition from longer-duration to more extreme short-duration events. Methodologically, the research employs various statistical analyses, related to the statistical of extremes branch, on meteorological data sourced from the Trentino Alto Adige region in Italy. This dataset provides unique time series data with detailed temporal resolution. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Alessandro Marinozzi, 2024 it_IT
dc.title Impacts of Climate Change on Rainfall Distribution: Analyzing the Shift towards More Extreme Short-Duration Rainfall Events over Longer Ones. it_IT
dc.title.alternative Impact of Climate Change on Rainfall Distribution, Analyzing the shift towards More Extreme Short-Duration Events over Longer ones it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Data analytics for business and society it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Dipartimento di Economia it_IT
dc.description.academicyear sessione_estiva_2023-2024_appello_08-07-24 it_IT
dc.rights.accessrights openAccess it_IT
dc.thesis.matricno 889988 it_IT
dc.subject.miur SECS-S/01 STATISTICA it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend it_IT
dc.provenance.upload Alessandro Marinozzi (889988@stud.unive.it), 2024-06-16 it_IT
dc.provenance.plagiarycheck Ilaria Prosdocimi (ilaria.prosdocimi@unive.it), 2024-07-08 it_IT


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